Dataset statistics
| Number of variables | 25 |
|---|---|
| Number of observations | 200 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 62.2 KiB |
| Average record size in memory | 318.4 B |
Variable types
| NUM | 22 |
|---|---|
| CAT | 3 |
Reproduction
| Analysis started | 2020-07-06 16:28:32.084093 |
|---|---|
| Analysis finished | 2020-07-06 16:30:05.167739 |
| Version | pandas-profiling v2.5.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
Name has a high cardinality: 135 distinct values | High cardinality |
AB is highly correlated with G and 3 other fields | High Correlation |
G is highly correlated with AB and 2 other fields | High Correlation |
PA is highly correlated with G and 3 other fields | High Correlation |
H is highly correlated with G and 4 other fields | High Correlation |
1B is highly correlated with H | High Correlation |
R is highly correlated with AB and 2 other fields | High Correlation |
2B has 3 (1.5%) zeros | Zeros |
3B has 47 (23.5%) zeros | Zeros |
HR has 8 (4.0%) zeros | Zeros |
BB has 3 (1.5%) zeros | Zeros |
IBB has 45 (22.5%) zeros | Zeros |
HBP has 26 (13.0%) zeros | Zeros |
SF has 21 (10.5%) zeros | Zeros |
SH has 137 (68.5%) zeros | Zeros |
GDP has 15 (7.5%) zeros | Zeros |
SB has 27 (13.5%) zeros | Zeros |
CS has 40 (20.0%) zeros | Zeros |
| Distinct count | 200 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 389.415 |
|---|---|
| Minimum | 0 |
| Maximum | 2060 |
| Zeros | 1 |
| Zeros (%) | 0.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 94.95 |
| Q1 | 156.75 |
| median | 250 |
| Q3 | 415.25 |
| 95-th percentile | 1674.35 |
| Maximum | 2060 |
| Range | 2060 |
| Interquartile range (IQR) | 258.5 |
Descriptive statistics
| Standard deviation | 416.776687 |
|---|---|
| Coefficient of variation (CV) | 1.070263567 |
| Kurtosis | 6.921553054 |
| Mean | 389.415 |
| Median Absolute Deviation (MAD) | 261.31345 |
| Skewness | 2.6537269 |
| Sum | 77883 |
| Variance | 173702.8068 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 94.5 224.5 442.5 783. 2060. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 392 | 1 | 0.5% | |
| 154 | 1 | 0.5% | |
| 171 | 1 | 0.5% | |
| 170 | 1 | 0.5% | |
| 168 | 1 | 0.5% | |
| 167 | 1 | 0.5% | |
| 163 | 1 | 0.5% | |
| 161 | 1 | 0.5% | |
| 159 | 1 | 0.5% | |
| 157 | 1 | 0.5% | |
| Other values (190) | 190 | 95.0% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.5% | |
| 1 | 1 | 0.5% | |
| 31 | 1 | 0.5% | |
| 43 | 1 | 0.5% | |
| 63 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 2060 | 1 | 0.5% | |
| 1989 | 1 | 0.5% | |
| 1959 | 1 | 0.5% | |
| 1945 | 1 | 0.5% | |
| 1928 | 1 | 0.5% |
Season
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| 2019 | |
|---|---|
| 2017 | |
| 2018 |
| Value | Count | Frequency (%) | |
| 2019 | 70 | 35.0% | |
| 2017 | 67 | 33.5% | |
| 2018 | 63 | 31.5% |
Length
| Max length | 6 |
|---|---|
| Mean length | 6 |
| Min length | 6 |
| Value | Count | Frequency (%) | |
| Decimal_Number | 6 | 85.7% | |
| Other_Punctuation | 1 | 14.3% |
| Value | Count | Frequency (%) | |
| Common | 7 | 100.0% |
| Value | Count | Frequency (%) | |
| ASCII | 7 | 100.0% |
| Distinct count | 135 |
|---|---|
| Unique (%) | 67.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| Alex Bregman | 3 |
|---|---|
| Aaron Judge | 3 |
| J.T. Realmuto | 3 |
| Eugenio Suarez | 3 |
| Mookie Betts | 3 |
| Other values (130) |
| Value | Count | Frequency (%) | |
| Alex Bregman | 3 | 1.5% | |
| Aaron Judge | 3 | 1.5% | |
| J.T. Realmuto | 3 | 1.5% | |
| Eugenio Suarez | 3 | 1.5% | |
| Mookie Betts | 3 | 1.5% | |
| Jose Altuve | 3 | 1.5% | |
| Freddie Freeman | 3 | 1.5% | |
| Christian Yelich | 3 | 1.5% | |
| Mike Trout | 3 | 1.5% | |
| Justin Turner | 3 | 1.5% | |
| Other values (125) | 170 | 85.0% |
Length
| Max length | 18 |
|---|---|
| Mean length | 12.86 |
| Min length | 9 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 25 | 48.1% | |
| Uppercase_Letter | 24 | 46.2% | |
| Dash_Punctuation | 1 | 1.9% | |
| Other_Punctuation | 1 | 1.9% | |
| Space_Separator | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| Latin | 49 | 94.2% | |
| Common | 3 | 5.8% |
| Value | Count | Frequency (%) | |
| ASCII | 52 | 100.0% |
Team
Categorical
| Distinct count | 30 |
|---|---|
| Unique (%) | 15.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| Dodgers | 16 |
|---|---|
| Astros | 14 |
| Yankees | 13 |
| Athletics | 11 |
| Nationals | 11 |
| Other values (25) |
| Value | Count | Frequency (%) | |
| Dodgers | 16 | 8.0% | |
| Astros | 14 | 7.0% | |
| Yankees | 13 | 6.5% | |
| Athletics | 11 | 5.5% | |
| Nationals | 11 | 5.5% | |
| Red Sox | 10 | 5.0% | |
| Braves | 10 | 5.0% | |
| Brewers | 8 | 4.0% | |
| Mets | 8 | 4.0% | |
| Twins | 7 | 3.5% | |
| Other values (20) | 92 | 46.0% |
Length
| Max length | 12 |
|---|---|
| Mean length | 6.855 |
| Min length | 4 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 21 | 53.8% | |
| Uppercase_Letter | 16 | 41.0% | |
| Dash_Punctuation | 1 | 2.6% | |
| Space_Separator | 1 | 2.6% |
| Value | Count | Frequency (%) | |
| Latin | 37 | 94.9% | |
| Common | 2 | 5.1% |
| Value | Count | Frequency (%) | |
| ASCII | 39 | 100.0% |
Age
Real number (ℝ≥0)
| Distinct count | 20 |
|---|---|
| Unique (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.3 |
|---|---|
| Minimum | 19.0 |
| Maximum | 38.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 25 |
| median | 27 |
| Q3 | 29 |
| 95-th percentile | 33 |
| Maximum | 38 |
| Range | 19 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.372963745 |
|---|---|
| Coefficient of variation (CV) | 0.1235517855 |
| Kurtosis | 0.3756130043 |
| Mean | 27.3 |
| Median Absolute Deviation (MAD) | 2.613 |
| Skewness | 0.3710304691 |
| Sum | 5460 |
| Variance | 11.37688442 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[19. 23.5 30.5 33.5 38. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 27 | 29 | 14.5% | |
| 28 | 25 | 12.5% | |
| 25 | 23 | 11.5% | |
| 26 | 21 | 10.5% | |
| 29 | 18 | 9.0% | |
| 30 | 16 | 8.0% | |
| 24 | 16 | 8.0% | |
| 23 | 9 | 4.5% | |
| 31 | 8 | 4.0% | |
| 33 | 7 | 3.5% | |
| Other values (10) | 28 | 14.0% |
| Value | Count | Frequency (%) | |
| 19 | 1 | 0.5% | |
| 20 | 3 | 1.5% | |
| 21 | 3 | 1.5% | |
| 22 | 6 | 3.0% | |
| 23 | 9 | 4.5% |
| Value | Count | Frequency (%) | |
| 38 | 1 | 0.5% | |
| 37 | 1 | 0.5% | |
| 36 | 1 | 0.5% | |
| 35 | 3 | 1.5% | |
| 34 | 3 | 1.5% |
| Distinct count | 71 |
|---|---|
| Unique (%) | 35.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 131.47 |
|---|---|
| Minimum | 2.0 |
| Maximum | 162.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 30.95 |
| Q1 | 127.75 |
| median | 144 |
| Q3 | 156 |
| 95-th percentile | 161.05 |
| Maximum | 162 |
| Range | 160 |
| Interquartile range (IQR) | 28.25 |
Descriptive statistics
| Standard deviation | 38.0350156 |
|---|---|
| Coefficient of variation (CV) | 0.2893056637 |
| Kurtosis | 3.247242445 |
| Mean | 131.47 |
| Median Absolute Deviation (MAD) | 26.2538 |
| Skewness | -2.022998863 |
| Sum | 26294 |
| Variance | 1446.662412 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 2. 110. 133.5 154.5 159.5 161.5 162. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 158 | 12 | 6.0% | |
| 156 | 11 | 5.5% | |
| 162 | 10 | 5.0% | |
| 159 | 9 | 4.5% | |
| 155 | 8 | 4.0% | |
| 140 | 7 | 3.5% | |
| 157 | 7 | 3.5% | |
| 145 | 7 | 3.5% | |
| 134 | 6 | 3.0% | |
| 144 | 6 | 3.0% | |
| Other values (61) | 117 | 58.5% |
| Value | Count | Frequency (%) | |
| 2 | 1 | 0.5% | |
| 5 | 1 | 0.5% | |
| 8 | 1 | 0.5% | |
| 17 | 1 | 0.5% | |
| 18 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 162 | 10 | 5.0% | |
| 161 | 1 | 0.5% | |
| 160 | 3 | 1.5% | |
| 159 | 9 | 4.5% | |
| 158 | 12 | 6.0% |
| Distinct count | 145 |
|---|---|
| Unique (%) | 72.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 483.565 |
|---|---|
| Minimum | 1.0 |
| Maximum | 664.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 52.9 |
| Q1 | 455 |
| median | 538 |
| Q3 | 584.25 |
| 95-th percentile | 639.05 |
| Maximum | 664 |
| Range | 663 |
| Interquartile range (IQR) | 129.25 |
Descriptive statistics
| Standard deviation | 163.8260684 |
|---|---|
| Coefficient of variation (CV) | 0.3387881016 |
| Kurtosis | 2.393620265 |
| Mean | 483.565 |
| Median Absolute Deviation (MAD) | 114.8929 |
| Skewness | -1.788036636 |
| Sum | 96713 |
| Variance | 26838.98068 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 74.5 369. 470.5 602.5 664. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 597 | 4 | 2.0% | |
| 534 | 4 | 2.0% | |
| 559 | 3 | 1.5% | |
| 480 | 3 | 1.5% | |
| 632 | 3 | 1.5% | |
| 575 | 3 | 1.5% | |
| 549 | 3 | 1.5% | |
| 602 | 3 | 1.5% | |
| 455 | 2 | 1.0% | |
| 556 | 2 | 1.0% | |
| Other values (135) | 170 | 85.0% |
| Value | Count | Frequency (%) | |
| 1 | 2 | 1.0% | |
| 6 | 1 | 0.5% | |
| 10 | 1 | 0.5% | |
| 31 | 1 | 0.5% | |
| 40 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 664 | 1 | 0.5% | |
| 661 | 1 | 0.5% | |
| 657 | 1 | 0.5% | |
| 653 | 1 | 0.5% | |
| 651 | 1 | 0.5% |
| Distinct count | 149 |
|---|---|
| Unique (%) | 74.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 551.96 |
|---|---|
| Minimum | 1.0 |
| Maximum | 747.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 64.95 |
| Q1 | 520.75 |
| median | 612.5 |
| Q3 | 666.25 |
| 95-th percentile | 707 |
| Maximum | 747 |
| Range | 746 |
| Interquartile range (IQR) | 145.5 |
Descriptive statistics
| Standard deviation | 184.7489357 |
|---|---|
| Coefficient of variation (CV) | 0.3347143556 |
| Kurtosis | 2.574828223 |
| Mean | 551.96 |
| Median Absolute Deviation (MAD) | 128.5132 |
| Skewness | -1.852868002 |
| Sum | 110392 |
| Variance | 34132.16925 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 82. 360. 481.5 630. 708. 747. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 645 | 5 | 2.5% | |
| 632 | 4 | 2.0% | |
| 606 | 3 | 1.5% | |
| 695 | 3 | 1.5% | |
| 707 | 3 | 1.5% | |
| 679 | 3 | 1.5% | |
| 705 | 3 | 1.5% | |
| 662 | 3 | 1.5% | |
| 481 | 3 | 1.5% | |
| 1 | 2 | 1.0% | |
| Other values (139) | 168 | 84.0% |
| Value | Count | Frequency (%) | |
| 1 | 2 | 1.0% | |
| 8 | 1 | 0.5% | |
| 10 | 1 | 0.5% | |
| 38 | 1 | 0.5% | |
| 47 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 747 | 1 | 0.5% | |
| 745 | 1 | 0.5% | |
| 740 | 1 | 0.5% | |
| 725 | 1 | 0.5% | |
| 723 | 1 | 0.5% |
| Distinct count | 103 |
|---|---|
| Unique (%) | 51.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 138.745 |
|---|---|
| Minimum | 1.0 |
| Maximum | 213.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 128.75 |
| median | 152.5 |
| Q3 | 170 |
| 95-th percentile | 190.05 |
| Maximum | 213 |
| Range | 212 |
| Interquartile range (IQR) | 41.25 |
Descriptive statistics
| Standard deviation | 49.80090991 |
|---|---|
| Coefficient of variation (CV) | 0.3589384116 |
| Kurtosis | 1.91590466 |
| Mean | 138.745 |
| Median Absolute Deviation (MAD) | 35.3066 |
| Skewness | -1.589651781 |
| Sum | 27749 |
| Variance | 2480.130628 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 13.5 97.5 130.5 191.5 213. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 170 | 5 | 2.5% | |
| 175 | 5 | 2.5% | |
| 176 | 5 | 2.5% | |
| 161 | 5 | 2.5% | |
| 155 | 4 | 2.0% | |
| 136 | 4 | 2.0% | |
| 149 | 4 | 2.0% | |
| 187 | 4 | 2.0% | |
| 153 | 4 | 2.0% | |
| 156 | 4 | 2.0% | |
| Other values (93) | 156 | 78.0% |
| Value | Count | Frequency (%) | |
| 1 | 2 | 1.0% | |
| 3 | 1 | 0.5% | |
| 5 | 1 | 0.5% | |
| 6 | 1 | 0.5% | |
| 7 | 2 | 1.0% |
| Value | Count | Frequency (%) | |
| 213 | 1 | 0.5% | |
| 204 | 1 | 0.5% | |
| 201 | 2 | 1.0% | |
| 197 | 1 | 0.5% | |
| 192 | 2 | 1.0% |
| Distinct count | 84 |
|---|---|
| Unique (%) | 42.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.025 |
|---|---|
| Minimum | 0.0 |
| Maximum | 170.0 |
| Zeros | 2 |
| Zeros (%) | 1.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 70 |
| median | 88 |
| Q3 | 101.25 |
| 95-th percentile | 125.1 |
| Maximum | 170 |
| Range | 170 |
| Interquartile range (IQR) | 31.25 |
Descriptive statistics
| Standard deviation | 32.51662698 |
|---|---|
| Coefficient of variation (CV) | 0.3964233707 |
| Kurtosis | 0.893124625 |
| Mean | 82.025 |
| Median Absolute Deviation (MAD) | 24.021 |
| Skewness | -0.9113552855 |
| Sum | 16405 |
| Variance | 1057.33103 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 8.5 56.5 114.5 136.5 170. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 91 | 6 | 3.0% | |
| 95 | 5 | 2.5% | |
| 78 | 5 | 2.5% | |
| 97 | 5 | 2.5% | |
| 99 | 5 | 2.5% | |
| 83 | 5 | 2.5% | |
| 93 | 5 | 2.5% | |
| 104 | 5 | 2.5% | |
| 6 | 4 | 2.0% | |
| 70 | 4 | 2.0% | |
| Other values (74) | 151 | 75.5% |
| Value | Count | Frequency (%) | |
| 0 | 2 | 1.0% | |
| 2 | 1 | 0.5% | |
| 3 | 1 | 0.5% | |
| 4 | 4 | 2.0% | |
| 6 | 4 | 2.0% |
| Value | Count | Frequency (%) | |
| 170 | 1 | 0.5% | |
| 137 | 1 | 0.5% | |
| 136 | 2 | 1.0% | |
| 135 | 1 | 0.5% | |
| 134 | 1 | 0.5% |
| Distinct count | 46 |
|---|---|
| Unique (%) | 23.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.86 |
|---|---|
| Minimum | 0.0 |
| Maximum | 56.0 |
| Zeros | 3 |
| Zeros (%) | 1.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 24 |
| median | 30 |
| Q3 | 36.25 |
| 95-th percentile | 44 |
| Maximum | 56 |
| Range | 56 |
| Interquartile range (IQR) | 12.25 |
Descriptive statistics
| Standard deviation | 11.91765718 |
|---|---|
| Coefficient of variation (CV) | 0.4129472344 |
| Kurtosis | 0.4997351294 |
| Mean | 28.86 |
| Median Absolute Deviation (MAD) | 8.961 |
| Skewness | -0.7473180384 |
| Sum | 5772 |
| Variance | 142.0305528 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 2.5 15.5 24.5 44.5 56. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 34 | 13 | 6.5% | |
| 26 | 12 | 6.0% | |
| 29 | 10 | 5.0% | |
| 27 | 9 | 4.5% | |
| 38 | 9 | 4.5% | |
| 33 | 9 | 4.5% | |
| 25 | 8 | 4.0% | |
| 30 | 7 | 3.5% | |
| 35 | 7 | 3.5% | |
| 40 | 7 | 3.5% | |
| Other values (36) | 109 | 54.5% |
| Value | Count | Frequency (%) | |
| 0 | 3 | 1.5% | |
| 1 | 6 | 3.0% | |
| 2 | 5 | 2.5% | |
| 3 | 3 | 1.5% | |
| 5 | 2 | 1.0% |
| Value | Count | Frequency (%) | |
| 56 | 1 | 0.5% | |
| 54 | 1 | 0.5% | |
| 52 | 1 | 0.5% | |
| 51 | 1 | 0.5% | |
| 49 | 1 | 0.5% |
| Distinct count | 12 |
|---|---|
| Unique (%) | 6.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.66 |
|---|---|
| Minimum | 0.0 |
| Maximum | 14.0 |
| Zeros | 47 |
| Zeros (%) | 23.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 7 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.491069476 |
|---|---|
| Coefficient of variation (CV) | 0.9364922843 |
| Kurtosis | 1.804831109 |
| Mean | 2.66 |
| Median Absolute Deviation (MAD) | 1.9724 |
| Skewness | 1.179952196 |
| Sum | 532 |
| Variance | 6.205427136 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 3.5 7.5 14. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 47 | 23.5% | |
| 2 | 39 | 19.5% | |
| 1 | 28 | 14.0% | |
| 3 | 25 | 12.5% | |
| 5 | 18 | 9.0% | |
| 4 | 17 | 8.5% | |
| 6 | 10 | 5.0% | |
| 7 | 8 | 4.0% | |
| 9 | 3 | 1.5% | |
| 10 | 2 | 1.0% | |
| Other values (2) | 3 | 1.5% |
| Value | Count | Frequency (%) | |
| 0 | 47 | 23.5% | |
| 1 | 28 | 14.0% | |
| 2 | 39 | 19.5% | |
| 3 | 25 | 12.5% | |
| 4 | 17 | 8.5% |
| Value | Count | Frequency (%) | |
| 14 | 1 | 0.5% | |
| 10 | 2 | 1.0% | |
| 9 | 3 | 1.5% | |
| 8 | 2 | 1.0% | |
| 7 | 8 | 4.0% |
| Distinct count | 48 |
|---|---|
| Unique (%) | 24.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.2 |
|---|---|
| Minimum | 0.0 |
| Maximum | 59.0 |
| Zeros | 8 |
| Zeros (%) | 4.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 18 |
| median | 26 |
| Q3 | 34 |
| 95-th percentile | 41.1 |
| Maximum | 59 |
| Range | 59 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 12.28268381 |
|---|---|
| Coefficient of variation (CV) | 0.4874080877 |
| Kurtosis | -0.1622567655 |
| Mean | 25.2 |
| Median Absolute Deviation (MAD) | 9.672 |
| Skewness | -0.3538696609 |
| Sum | 5040 |
| Variance | 150.8643216 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 20.5 40. 59. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 24 | 12 | 6.0% | |
| 23 | 10 | 5.0% | |
| 33 | 10 | 5.0% | |
| 27 | 9 | 4.5% | |
| 34 | 8 | 4.0% | |
| 36 | 8 | 4.0% | |
| 0 | 8 | 4.0% | |
| 25 | 7 | 3.5% | |
| 32 | 7 | 3.5% | |
| 35 | 7 | 3.5% | |
| Other values (38) | 114 | 57.0% |
| Value | Count | Frequency (%) | |
| 0 | 8 | 4.0% | |
| 1 | 5 | 2.5% | |
| 2 | 5 | 2.5% | |
| 4 | 3 | 1.5% | |
| 6 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 59 | 1 | 0.5% | |
| 53 | 1 | 0.5% | |
| 52 | 1 | 0.5% | |
| 49 | 1 | 0.5% | |
| 48 | 1 | 0.5% |
| Distinct count | 78 |
|---|---|
| Unique (%) | 39.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.055 |
|---|---|
| Minimum | 1.0 |
| Maximum | 137.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4.95 |
| Q1 | 73.75 |
| median | 88 |
| Q3 | 101 |
| 95-th percentile | 121.05 |
| Maximum | 137 |
| Range | 136 |
| Interquartile range (IQR) | 27.25 |
Descriptive statistics
| Standard deviation | 30.65797666 |
|---|---|
| Coefficient of variation (CV) | 0.3736271605 |
| Kurtosis | 1.426417147 |
| Mean | 82.055 |
| Median Absolute Deviation (MAD) | 21.8018 |
| Skewness | -1.284904992 |
| Sum | 16411 |
| Variance | 939.9115327 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 6.5 59.5 74.5 112.5 137. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 85 | 6 | 3.0% | |
| 100 | 6 | 3.0% | |
| 89 | 6 | 3.0% | |
| 102 | 5 | 2.5% | |
| 96 | 5 | 2.5% | |
| 84 | 5 | 2.5% | |
| 88 | 5 | 2.5% | |
| 95 | 5 | 2.5% | |
| 77 | 5 | 2.5% | |
| 75 | 5 | 2.5% | |
| Other values (68) | 147 | 73.5% |
| Value | Count | Frequency (%) | |
| 1 | 3 | 1.5% | |
| 2 | 2 | 1.0% | |
| 3 | 2 | 1.0% | |
| 4 | 3 | 1.5% | |
| 5 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 137 | 1 | 0.5% | |
| 135 | 1 | 0.5% | |
| 129 | 3 | 1.5% | |
| 128 | 1 | 0.5% | |
| 127 | 1 | 0.5% |
RBI
Real number (ℝ≥0)
| Distinct count | 85 |
|---|---|
| Unique (%) | 42.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 76.815 |
|---|---|
| Minimum | 0.0 |
| Maximum | 132.0 |
| Zeros | 2 |
| Zeros (%) | 1.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 67 |
| median | 81 |
| Q3 | 97.25 |
| 95-th percentile | 118 |
| Maximum | 132 |
| Range | 132 |
| Interquartile range (IQR) | 30.25 |
Descriptive statistics
| Standard deviation | 30.73931199 |
|---|---|
| Coefficient of variation (CV) | 0.4001732993 |
| Kurtosis | 0.6763158341 |
| Mean | 76.815 |
| Median Absolute Deviation (MAD) | 22.84645 |
| Skewness | -0.970720634 |
| Sum | 15363 |
| Variance | 944.9053015 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 9.5 48. 66. 106. 132. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 67 | 6 | 3.0% | |
| 90 | 6 | 3.0% | |
| 92 | 6 | 3.0% | |
| 79 | 5 | 2.5% | |
| 104 | 5 | 2.5% | |
| 72 | 5 | 2.5% | |
| 100 | 4 | 2.0% | |
| 87 | 4 | 2.0% | |
| 63 | 4 | 2.0% | |
| 93 | 4 | 2.0% | |
| Other values (75) | 151 | 75.5% |
| Value | Count | Frequency (%) | |
| 0 | 2 | 1.0% | |
| 1 | 2 | 1.0% | |
| 2 | 2 | 1.0% | |
| 3 | 2 | 1.0% | |
| 4 | 3 | 1.5% |
| Value | Count | Frequency (%) | |
| 132 | 1 | 0.5% | |
| 130 | 2 | 1.0% | |
| 126 | 1 | 0.5% | |
| 124 | 1 | 0.5% | |
| 121 | 1 | 0.5% |
| Distinct count | 84 |
|---|---|
| Unique (%) | 42.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 57.685 |
|---|---|
| Minimum | 0.0 |
| Maximum | 134.0 |
| Zeros | 3 |
| Zeros (%) | 1.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.95 |
| Q1 | 40.75 |
| median | 59.5 |
| Q3 | 73 |
| 95-th percentile | 106.1 |
| Maximum | 134 |
| Range | 134 |
| Interquartile range (IQR) | 32.25 |
Descriptive statistics
| Standard deviation | 27.928584 |
|---|---|
| Coefficient of variation (CV) | 0.4841567825 |
| Kurtosis | 0.1383917539 |
| Mean | 57.685 |
| Median Absolute Deviation (MAD) | 21.63075 |
| Skewness | -0.04593102627 |
| Sum | 11537 |
| Variance | 780.005804 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 6.5 29.5 80.5 109.5 134. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 70 | 7 | 3.5% | |
| 73 | 6 | 3.0% | |
| 52 | 5 | 2.5% | |
| 55 | 5 | 2.5% | |
| 48 | 5 | 2.5% | |
| 47 | 5 | 2.5% | |
| 35 | 5 | 2.5% | |
| 2 | 5 | 2.5% | |
| 76 | 5 | 2.5% | |
| 64 | 5 | 2.5% | |
| Other values (74) | 147 | 73.5% |
| Value | Count | Frequency (%) | |
| 0 | 3 | 1.5% | |
| 1 | 2 | 1.0% | |
| 2 | 5 | 2.5% | |
| 3 | 1 | 0.5% | |
| 4 | 3 | 1.5% |
| Value | Count | Frequency (%) | |
| 134 | 1 | 0.5% | |
| 130 | 1 | 0.5% | |
| 127 | 1 | 0.5% | |
| 122 | 1 | 0.5% | |
| 119 | 1 | 0.5% |
| Distinct count | 22 |
|---|---|
| Unique (%) | 11.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.31 |
|---|---|
| Minimum | 0.0 |
| Maximum | 25.0 |
| Zeros | 45 |
| Zeros (%) | 22.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 14.05 |
| Maximum | 25 |
| Range | 25 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.773660985 |
|---|---|
| Coefficient of variation (CV) | 1.107577955 |
| Kurtosis | 2.452472884 |
| Mean | 4.31 |
| Median Absolute Deviation (MAD) | 3.6499 |
| Skewness | 1.560946933 |
| Sum | 862 |
| Variance | 22.7878392 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 3.5 6.5 16.5 25. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 45 | 22.5% | |
| 2 | 26 | 13.0% | |
| 1 | 24 | 12.0% | |
| 3 | 21 | 10.5% | |
| 4 | 13 | 6.5% | |
| 6 | 13 | 6.5% | |
| 5 | 13 | 6.5% | |
| 11 | 8 | 4.0% | |
| 8 | 6 | 3.0% | |
| 9 | 6 | 3.0% | |
| Other values (12) | 25 | 12.5% |
| Value | Count | Frequency (%) | |
| 0 | 45 | 22.5% | |
| 1 | 24 | 12.0% | |
| 2 | 26 | 13.0% | |
| 3 | 21 | 10.5% | |
| 4 | 13 | 6.5% |
| Value | Count | Frequency (%) | |
| 25 | 1 | 0.5% | |
| 21 | 1 | 0.5% | |
| 20 | 1 | 0.5% | |
| 18 | 1 | 0.5% | |
| 17 | 1 | 0.5% |
SO
Real number (ℝ≥0)
| Distinct count | 114 |
|---|---|
| Unique (%) | 57.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 107.335 |
|---|---|
| Minimum | 0.0 |
| Maximum | 211.0 |
| Zeros | 2 |
| Zeros (%) | 1.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 18.9 |
| Q1 | 84.75 |
| median | 110.5 |
| Q3 | 137.25 |
| 95-th percentile | 174.1 |
| Maximum | 211 |
| Range | 211 |
| Interquartile range (IQR) | 52.5 |
Descriptive statistics
| Standard deviation | 43.09581209 |
|---|---|
| Coefficient of variation (CV) | 0.4015075427 |
| Kurtosis | 0.2223796948 |
| Mean | 107.335 |
| Median Absolute Deviation (MAD) | 33.0782 |
| Skewness | -0.4909702164 |
| Sum | 21467 |
| Variance | 1857.24902 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 65.5 151.5 211. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 131 | 5 | 2.5% | |
| 101 | 4 | 2.0% | |
| 128 | 4 | 2.0% | |
| 82 | 4 | 2.0% | |
| 111 | 4 | 2.0% | |
| 99 | 4 | 2.0% | |
| 108 | 4 | 2.0% | |
| 104 | 4 | 2.0% | |
| 147 | 3 | 1.5% | |
| 146 | 3 | 1.5% | |
| Other values (104) | 161 | 80.5% |
| Value | Count | Frequency (%) | |
| 0 | 2 | 1.0% | |
| 2 | 1 | 0.5% | |
| 3 | 1 | 0.5% | |
| 8 | 2 | 1.0% | |
| 13 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 211 | 1 | 0.5% | |
| 208 | 1 | 0.5% | |
| 189 | 1 | 0.5% | |
| 188 | 1 | 0.5% | |
| 183 | 1 | 0.5% |
| Distinct count | 24 |
|---|---|
| Unique (%) | 12.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.005 |
|---|---|
| Minimum | 0.0 |
| Maximum | 27.0 |
| Zeros | 26 |
| Zeros (%) | 13.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 15 |
| Maximum | 27 |
| Range | 27 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.874812198 |
|---|---|
| Coefficient of variation (CV) | 0.8117922062 |
| Kurtosis | 2.89583734 |
| Mean | 6.005 |
| Median Absolute Deviation (MAD) | 3.646 |
| Skewness | 1.397925682 |
| Sum | 1201 |
| Variance | 23.76379397 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 8.5 12.5 27. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 26 | 13.0% | |
| 3 | 25 | 12.5% | |
| 4 | 22 | 11.0% | |
| 8 | 21 | 10.5% | |
| 5 | 16 | 8.0% | |
| 7 | 14 | 7.0% | |
| 6 | 14 | 7.0% | |
| 2 | 12 | 6.0% | |
| 9 | 10 | 5.0% | |
| 10 | 9 | 4.5% | |
| Other values (14) | 31 | 15.5% |
| Value | Count | Frequency (%) | |
| 0 | 26 | 13.0% | |
| 1 | 5 | 2.5% | |
| 2 | 12 | 6.0% | |
| 3 | 25 | 12.5% | |
| 4 | 22 | 11.0% |
| Value | Count | Frequency (%) | |
| 27 | 1 | 0.5% | |
| 24 | 1 | 0.5% | |
| 22 | 1 | 0.5% | |
| 21 | 2 | 1.0% | |
| 20 | 1 | 0.5% |
| Distinct count | 12 |
|---|---|
| Unique (%) | 6.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.69 |
|---|---|
| Minimum | 0.0 |
| Maximum | 12.0 |
| Zeros | 21 |
| Zeros (%) | 10.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 8 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.466641767 |
|---|---|
| Coefficient of variation (CV) | 0.6684666036 |
| Kurtosis | 0.04590085378 |
| Mean | 3.69 |
| Median Absolute Deviation (MAD) | 1.9845 |
| Skewness | 0.5709021895 |
| Sum | 738 |
| Variance | 6.084321608 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 6.5 8.5 12. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 3 | 36 | 18.0% | |
| 2 | 33 | 16.5% | |
| 4 | 30 | 15.0% | |
| 6 | 23 | 11.5% | |
| 0 | 21 | 10.5% | |
| 5 | 16 | 8.0% | |
| 1 | 15 | 7.5% | |
| 7 | 11 | 5.5% | |
| 8 | 7 | 3.5% | |
| 9 | 4 | 2.0% | |
| Other values (2) | 4 | 2.0% |
| Value | Count | Frequency (%) | |
| 0 | 21 | 10.5% | |
| 1 | 15 | 7.5% | |
| 2 | 33 | 16.5% | |
| 3 | 36 | 18.0% | |
| 4 | 30 | 15.0% |
| Value | Count | Frequency (%) | |
| 12 | 1 | 0.5% | |
| 10 | 3 | 1.5% | |
| 9 | 4 | 2.0% | |
| 8 | 7 | 3.5% | |
| 7 | 11 | 5.5% |
| Distinct count | 11 |
|---|---|
| Unique (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.86 |
|---|---|
| Minimum | 0.0 |
| Maximum | 14.0 |
| Zeros | 137 |
| Zeros (%) | 68.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 2.034970645 |
|---|---|
| Coefficient of variation (CV) | 2.366244937 |
| Kurtosis | 17.9826266 |
| Mean | 0.86 |
| Median Absolute Deviation (MAD) | 1.1782 |
| Skewness | 3.892680432 |
| Sum | 172 |
| Variance | 4.141105528 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 3.5 14. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 137 | 68.5% | |
| 1 | 30 | 15.0% | |
| 2 | 13 | 6.5% | |
| 3 | 7 | 3.5% | |
| 5 | 5 | 2.5% | |
| 6 | 2 | 1.0% | |
| 12 | 2 | 1.0% | |
| 7 | 1 | 0.5% | |
| 14 | 1 | 0.5% | |
| 4 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 0 | 137 | 68.5% | |
| 1 | 30 | 15.0% | |
| 2 | 13 | 6.5% | |
| 3 | 7 | 3.5% | |
| 4 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 14 | 1 | 0.5% | |
| 12 | 2 | 1.0% | |
| 9 | 1 | 0.5% | |
| 7 | 1 | 0.5% | |
| 6 | 2 | 1.0% |
| Distinct count | 25 |
|---|---|
| Unique (%) | 12.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.035 |
|---|---|
| Minimum | 0.0 |
| Maximum | 26.0 |
| Zeros | 15 |
| Zeros (%) | 7.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 10 |
| Q3 | 14 |
| 95-th percentile | 20 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 5.853639936 |
|---|---|
| Coefficient of variation (CV) | 0.5833223653 |
| Kurtosis | -0.5729307053 |
| Mean | 10.035 |
| Median Absolute Deviation (MAD) | 4.72675 |
| Skewness | 0.07589503881 |
| Sum | 2007 |
| Variance | 34.2651005 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 6.5 15.5 21.5 26. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 11 | 16 | 8.0% | |
| 8 | 15 | 7.5% | |
| 0 | 15 | 7.5% | |
| 9 | 13 | 6.5% | |
| 10 | 13 | 6.5% | |
| 12 | 13 | 6.5% | |
| 5 | 12 | 6.0% | |
| 7 | 11 | 5.5% | |
| 13 | 10 | 5.0% | |
| 14 | 10 | 5.0% | |
| Other values (15) | 72 | 36.0% |
| Value | Count | Frequency (%) | |
| 0 | 15 | 7.5% | |
| 1 | 7 | 3.5% | |
| 2 | 5 | 2.5% | |
| 3 | 4 | 2.0% | |
| 4 | 6 | 3.0% |
| Value | Count | Frequency (%) | |
| 26 | 1 | 0.5% | |
| 23 | 1 | 0.5% | |
| 22 | 1 | 0.5% | |
| 21 | 4 | 2.0% | |
| 20 | 6 | 3.0% |
| Distinct count | 39 |
|---|---|
| Unique (%) | 19.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.645 |
|---|---|
| Minimum | 0.0 |
| Maximum | 60.0 |
| Zeros | 27 |
| Zeros (%) | 13.5% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 6 |
| Q3 | 14.25 |
| 95-th percentile | 30.1 |
| Maximum | 60 |
| Range | 60 |
| Interquartile range (IQR) | 12.25 |
Descriptive statistics
| Standard deviation | 10.378223 |
|---|---|
| Coefficient of variation (CV) | 1.076021047 |
| Kurtosis | 3.457095519 |
| Mean | 9.645 |
| Median Absolute Deviation (MAD) | 7.85335 |
| Skewness | 1.712707743 |
| Sum | 1929 |
| Variance | 107.7075126 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 5.5 17.5 34.5 60. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 27 | 13.5% | |
| 5 | 16 | 8.0% | |
| 2 | 16 | 8.0% | |
| 4 | 15 | 7.5% | |
| 3 | 14 | 7.0% | |
| 10 | 12 | 6.0% | |
| 1 | 11 | 5.5% | |
| 8 | 7 | 3.5% | |
| 6 | 7 | 3.5% | |
| 16 | 7 | 3.5% | |
| Other values (29) | 68 | 34.0% |
| Value | Count | Frequency (%) | |
| 0 | 27 | 13.5% | |
| 1 | 11 | 5.5% | |
| 2 | 16 | 8.0% | |
| 3 | 14 | 7.0% | |
| 4 | 15 | 7.5% |
| Value | Count | Frequency (%) | |
| 60 | 1 | 0.5% | |
| 45 | 1 | 0.5% | |
| 43 | 1 | 0.5% | |
| 40 | 2 | 1.0% | |
| 37 | 1 | 0.5% |
| Distinct count | 15 |
|---|---|
| Unique (%) | 7.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.925 |
|---|---|
| Minimum | 0.0 |
| Maximum | 16.0 |
| Zeros | 40 |
| Zeros (%) | 20.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4.25 |
| 95-th percentile | 9 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 3.25 |
Descriptive statistics
| Standard deviation | 2.903710155 |
|---|---|
| Coefficient of variation (CV) | 0.9927214205 |
| Kurtosis | 2.737067564 |
| Mean | 2.925 |
| Median Absolute Deviation (MAD) | 2.223 |
| Skewness | 1.499501005 |
| Sum | 585 |
| Variance | 8.431532663 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 2.5 6.5 10.5 16. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 2 | 41 | 20.5% | |
| 0 | 40 | 20.0% | |
| 1 | 35 | 17.5% | |
| 3 | 20 | 10.0% | |
| 5 | 18 | 9.0% | |
| 4 | 14 | 7.0% | |
| 6 | 10 | 5.0% | |
| 7 | 7 | 3.5% | |
| 9 | 4 | 2.0% | |
| 10 | 4 | 2.0% | |
| Other values (5) | 7 | 3.5% |
| Value | Count | Frequency (%) | |
| 0 | 40 | 20.0% | |
| 1 | 35 | 17.5% | |
| 2 | 41 | 20.5% | |
| 3 | 20 | 10.0% | |
| 4 | 14 | 7.0% |
| Value | Count | Frequency (%) | |
| 16 | 1 | 0.5% | |
| 14 | 1 | 0.5% | |
| 12 | 1 | 0.5% | |
| 11 | 1 | 0.5% | |
| 10 | 4 | 2.0% |
AVG
Real number (ℝ≥0)
| Distinct count | 93 |
|---|---|
| Unique (%) | 46.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.28944499999999995 |
|---|---|
| Minimum | 0.125 |
| Maximum | 1.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 0.125 |
|---|---|
| 5-th percentile | 0.1995 |
| Q1 | 0.26775 |
| median | 0.2855 |
| Q3 | 0.30425 |
| 95-th percentile | 0.32905 |
| Maximum | 1 |
| Range | 0.875 |
| Interquartile range (IQR) | 0.0365 |
Descriptive statistics
| Standard deviation | 0.08300540017 |
|---|---|
| Coefficient of variation (CV) | 0.2867743446 |
| Kurtosis | 53.31872608 |
| Mean | 0.289445 |
| Median Absolute Deviation (MAD) | 0.0338306 |
| Skewness | 6.338494587 |
| Sum | 57.889 |
| Variance | 0.006889896457 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.125 0.24 0.2595 0.3195 0.333 1. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.273 | 6 | 3.0% | |
| 0.278 | 6 | 3.0% | |
| 0.295 | 6 | 3.0% | |
| 0.29 | 5 | 2.5% | |
| 0.297 | 5 | 2.5% | |
| 0.288 | 5 | 2.5% | |
| 0.281 | 4 | 2.0% | |
| 0.291 | 4 | 2.0% | |
| 0.284 | 4 | 2.0% | |
| 0.26 | 4 | 2.0% | |
| Other values (83) | 151 | 75.5% |
| Value | Count | Frequency (%) | |
| 0.125 | 1 | 0.5% | |
| 0.143 | 1 | 0.5% | |
| 0.157 | 1 | 0.5% | |
| 0.163 | 1 | 0.5% | |
| 0.175 | 2 | 1.0% |
| Value | Count | Frequency (%) | |
| 1 | 2 | 1.0% | |
| 0.5 | 2 | 1.0% | |
| 0.346 | 2 | 1.0% | |
| 0.335 | 1 | 0.5% | |
| 0.331 | 1 | 0.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
First rows
| df_index | Season | Name | Team | Age | G | AB | PA | H | 1B | 2B | 3B | HR | R | RBI | BB | IBB | SO | HBP | SF | SH | GDP | SB | CS | AVG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 63 | 2018.0 | Mookie Betts | Red Sox | 25.0 | 136.0 | 520.0 | 614.0 | 180.0 | 96.0 | 47.0 | 5.0 | 32.0 | 129.0 | 80.0 | 81.0 | 8.0 | 91.0 | 8.0 | 5.0 | 0.0 | 5.0 | 30.0 | 6.0 | 0.346 |
| 1 | 67 | 2018.0 | Mike Trout | Angels | 26.0 | 140.0 | 471.0 | 608.0 | 147.0 | 80.0 | 24.0 | 4.0 | 39.0 | 101.0 | 79.0 | 122.0 | 25.0 | 124.0 | 10.0 | 4.0 | 0.0 | 5.0 | 24.0 | 2.0 | 0.312 |
| 2 | 86 | 2019.0 | Mike Trout | Angels | 27.0 | 134.0 | 470.0 | 600.0 | 137.0 | 63.0 | 27.0 | 2.0 | 45.0 | 110.0 | 104.0 | 110.0 | 14.0 | 120.0 | 16.0 | 4.0 | 0.0 | 5.0 | 11.0 | 2.0 | 0.291 |
| 3 | 101 | 2019.0 | Alex Bregman | Astros | 25.0 | 156.0 | 554.0 | 690.0 | 164.0 | 84.0 | 37.0 | 2.0 | 41.0 | 122.0 | 112.0 | 119.0 | 2.0 | 83.0 | 9.0 | 8.0 | 0.0 | 9.0 | 5.0 | 1.0 | 0.296 |
| 4 | 96 | 2017.0 | Aaron Judge | Yankees | 25.0 | 155.0 | 542.0 | 678.0 | 154.0 | 75.0 | 24.0 | 3.0 | 52.0 | 128.0 | 114.0 | 127.0 | 11.0 | 208.0 | 5.0 | 4.0 | 0.0 | 15.0 | 9.0 | 4.0 | 0.284 |
| 5 | 153 | 2018.0 | Jose Ramirez | Indians | 25.0 | 157.0 | 578.0 | 698.0 | 156.0 | 75.0 | 38.0 | 4.0 | 39.0 | 110.0 | 105.0 | 106.0 | 15.0 | 80.0 | 8.0 | 6.0 | 0.0 | 2.0 | 34.0 | 6.0 | 0.270 |
| 6 | 69 | 2019.0 | Christian Yelich | Brewers | 27.0 | 130.0 | 489.0 | 580.0 | 161.0 | 85.0 | 29.0 | 3.0 | 44.0 | 100.0 | 97.0 | 80.0 | 16.0 | 118.0 | 8.0 | 3.0 | 0.0 | 8.0 | 30.0 | 2.0 | 0.329 |
| 7 | 109 | 2019.0 | Cody Bellinger | Dodgers | 23.0 | 156.0 | 558.0 | 660.0 | 170.0 | 86.0 | 34.0 | 3.0 | 47.0 | 121.0 | 115.0 | 95.0 | 21.0 | 108.0 | 3.0 | 4.0 | 0.0 | 10.0 | 15.0 | 5.0 | 0.305 |
| 8 | 100 | 2018.0 | Christian Yelich | Brewers | 26.0 | 147.0 | 574.0 | 651.0 | 187.0 | 110.0 | 34.0 | 7.0 | 36.0 | 118.0 | 110.0 | 68.0 | 2.0 | 135.0 | 7.0 | 2.0 | 0.0 | 14.0 | 22.0 | 4.0 | 0.326 |
| 9 | 123 | 2017.0 | Jose Altuve | Astros | 27.0 | 153.0 | 590.0 | 662.0 | 204.0 | 137.0 | 39.0 | 4.0 | 24.0 | 112.0 | 81.0 | 58.0 | 3.0 | 84.0 | 9.0 | 4.0 | 1.0 | 19.0 | 32.0 | 6.0 | 0.346 |
Last rows
| df_index | Season | Name | Team | Age | G | AB | PA | H | 1B | 2B | 3B | HR | R | RBI | BB | IBB | SO | HBP | SF | SH | GDP | SB | CS | AVG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 190 | 534 | 2018.0 | Eddie Rosario | Twins | 26.0 | 138.0 | 559.0 | 592.0 | 161.0 | 104.0 | 31.0 | 2.0 | 24.0 | 87.0 | 77.0 | 30.0 | 5.0 | 104.0 | 0.0 | 2.0 | 1.0 | 4.0 | 8.0 | 2.0 | 0.288 |
| 191 | 638 | 2019.0 | Christian Vazquez | Red Sox | 28.0 | 138.0 | 482.0 | 521.0 | 133.0 | 83.0 | 26.0 | 1.0 | 23.0 | 66.0 | 72.0 | 33.0 | 3.0 | 101.0 | 0.0 | 3.0 | 3.0 | 17.0 | 4.0 | 2.0 | 0.276 |
| 192 | 536 | 2018.0 | Matt Olson | Athletics | 24.0 | 162.0 | 580.0 | 660.0 | 143.0 | 81.0 | 33.0 | 0.0 | 29.0 | 85.0 | 84.0 | 70.0 | 3.0 | 163.0 | 8.0 | 2.0 | 0.0 | 13.0 | 2.0 | 1.0 | 0.247 |
| 193 | 544 | 2018.0 | Mallex Smith | Rays | 25.0 | 141.0 | 480.0 | 544.0 | 142.0 | 103.0 | 27.0 | 10.0 | 2.0 | 65.0 | 40.0 | 47.0 | 0.0 | 98.0 | 8.0 | 2.0 | 7.0 | 11.0 | 40.0 | 12.0 | 0.296 |
| 194 | 708 | 2017.0 | Kyle Seager | Mariners | 29.0 | 154.0 | 578.0 | 650.0 | 144.0 | 83.0 | 33.0 | 1.0 | 27.0 | 72.0 | 88.0 | 58.0 | 6.0 | 110.0 | 8.0 | 6.0 | 0.0 | 6.0 | 2.0 | 1.0 | 0.249 |
| 195 | 1 | 2017.0 | Sean Gilmartin | Mets | 27.0 | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.000 |
| 196 | 246 | 2019.0 | Justin Turner | Dodgers | 34.0 | 135.0 | 479.0 | 549.0 | 139.0 | 88.0 | 24.0 | 0.0 | 27.0 | 80.0 | 67.0 | 51.0 | 1.0 | 88.0 | 14.0 | 5.0 | 0.0 | 11.0 | 2.0 | 0.0 | 0.290 |
| 197 | 301 | 2017.0 | Aaron Hicks | Yankees | 27.0 | 88.0 | 301.0 | 361.0 | 80.0 | 47.0 | 18.0 | 0.0 | 15.0 | 54.0 | 52.0 | 51.0 | 0.0 | 67.0 | 3.0 | 5.0 | 1.0 | 8.0 | 10.0 | 5.0 | 0.266 |
| 198 | 355 | 2017.0 | Josh Reddick | Astros | 30.0 | 134.0 | 477.0 | 540.0 | 150.0 | 99.0 | 34.0 | 4.0 | 13.0 | 77.0 | 82.0 | 43.0 | 1.0 | 72.0 | 0.0 | 12.0 | 1.0 | 9.0 | 7.0 | 3.0 | 0.314 |
| 199 | 168 | 2019.0 | J.D. Martinez | Red Sox | 31.0 | 146.0 | 575.0 | 657.0 | 175.0 | 104.0 | 33.0 | 2.0 | 36.0 | 98.0 | 105.0 | 72.0 | 9.0 | 138.0 | 4.0 | 5.0 | 0.0 | 19.0 | 2.0 | 0.0 | 0.304 |